In the case of regression with interactions, the coefficient of a binary variable should be interpreted as follows:
A) there are really problems in interpreting these, since the ln(0) is not defined.
B) for the case of interacted regressors, the binary va
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Answer: D) first compute the expected values of Y for each possible case described by the set of binary variables. Next compare these expected values. Each coefficient can then be expressed either as an expected value or as the difference between two or more expected values.
